Saturday, 27 July 2013

Hadoop training | Australia | Placement

Magnific Training will be able to evaluate OpenStack for their use cases as well as improve performance of an existing installation. Students will experience real Hadoop clusters and the latest Hadoop distributions. By default, we use Cloudera’s latest Hadoop distribution. However, based on demand, we can use also use Hortonworks, MapR, and Hadoop on Windows Azure.

Visit: www.magnifictraining.com


  • Big Data use case and technology assessment
  • Application/implementation of custom analytics
  • Administration of relational and NOSQL databases
  • Data migration from existing data stores
  • Infrastructure and storage design for Big Data technologies
  • Developing capacity plans for new and existing systems
  • Data Virtualization
  • Visualization
  • Performance Tuning.
  • You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
  • or full course details please visit our website www.hadooponlinetraining.net
  • Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

  • * Resume preparation and Interview assistance will be provided. 
  • For any further details please contact 
  • INDIA: +91-9052666559 
  • USA: +1-6786933994
  •      +6786933475
  • visit www.magnifictraining.com

  • please mail us all queries to info@magnifictraining.com

Friday, 26 July 2013

Hadoop training | Australia

The Magnific Training – Admin  class distinct from any other such industry class, because lab work comprises over 60 percent of the total course work. This track places learners in the “hands-on” industry hot seat within a safe, nurturing class environment. The students are guided by industry veterans who have years of industry experience & can answer detailed technical questions. Students have the dual benefits of working on their own Hadoop clusters as part of a team setting during the class while also being able to work on the Hadoop clusters at their own time and leisure. Students can excel individually, or in groups as best they prefer. - See more at: www.magnifictraining.com


Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview
Day 1: Big Data, HDFS and MapReduce Primer

Intro to Hadoop

Parallel Computer vs. Distributed Computing
Brief history of Hadoop
RDBMS vs. Hadoop
Hadoop Cluster Architecture
Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper
Vendor Comparison
Hardware and Software recommendations
Lab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job execution
Deep Dive HDFS

Linux File system options
Sample HDFS commands
Data Locality
Rack Awareness
Write Pipeline
Read Pipeline
NameNode architecture
Secondary NameNode architecture
DataNode architecture
Heartbeats
Block Scanner
FSCK
Balancer
Name Node HA

MapReduce 

MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem

Real-time I/O with HBase

HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.

Data Analytics via Hive

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website www.magnifictraining.com

 
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
 


* Resume preparation and Interview assistance will be provided. 
For any further details please contact +91-9052666559 or 

please mail us all queries to info@magnifictraining.com

Thursday, 25 July 2013

Hadoop training | AUSTRALIA CANADA USA UK | Hadoop certification

Learn how to manage your big data environment, import data for analysis, analyze data with BigSheets, develop your first big data application, develop Big SQL queries to analyze big data, and create an extractor to derive insights from text documents in this comprehensive set of tutorials.

Visit: www.magnifictraining.com

Hadoop Big Data Training on:
*Development
*Administration
*Architect Training Course
Course Outline:
What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.


or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please contact
+91-9052666559 or
visit www.magnifictraining.com
please mail us all queries to
info@magnifictraining.com

Tuesday, 23 July 2013

Australia : Hadoop online training

Magnific training delivers a developer-focused Cloudera Hadoop Certified online training course that closely analyzes Hadoop’s structure and provides hands-on exercises that teach you how to import data from existing sources; process data with a variety of techniques such as Java MapReduce programs and Hadoop Streaming jobs; and work with Apache Hive and Pig.

The course alternates between instructional sessions and hands-on labs.

Visit: www.magnifictraining.com


Hadoop Training Course Content:

1. Understanding Big Data – What is Big Data ?

  • Real world issues with BIG Data – Ex: How facebook manage peta bytes of data.

  • Will regular traditional approach works?

2. How Hadoop Evolved

  • Back to Hadoop evolution.

  • The ecosystem and stack: HDFS, MapReduce, Hive, Pig…

  • Cluster architecture overview

3. Environment for Hadoop development

  • Hadoop distribution and basic commands

  • Eclipse development

4. Understanding HDFS

  • Command line and web interfaces for HDFS

  • Exercises on HDFS Java API

5. Understanding MapReduce

  • Core Logic: move computation, not data

  • Base concepts: Mappers, reducers, drivers

  • The MapReduce Java API (lab)



6. Real-World MapReduce

  • Optimizing with Combiners and Partitioners (lab)

  • More common algorithms: sorting, indexing and searching (lab)

  • Relational manipulation: map-side and reduce-side joins (lab)

  • Chaining Jobs

  • Testing with MRUnit

7. Higher-level Tools

  • Patterns to abstract “thinking in MapReduce”

  • The Cascading library (lab)

  • The Hive database (lab)

Interested ? Enroll into our online Apache Hadoop training program now.



Monday, 22 July 2013

cloudera hadoop administrator training in Australia

we (Magnific training) can provide Hadoop / Big data online/class room training. We provide complete live online training and to support these training services, we provide software quick reference guide, step by step instructions as well as complete technical support.

Who are the candidates for the position? Best option is to hire an experienced Hadoop admin. In 2-3 years no one will even consider doing anything else. But right now there is an extreme shortage of Hadoop admins, so we need to consider less perfect candidates.

The usual suspects tend to be: Junior java developers, sys admins, storage admins and DBAs.

When we get to the operations personel – storage admins are usually out of consideration because their skillset is too unique and valuable at other parts of the organization. I’ve never seen a storage admin who became an Hadoop admin, or any place where it was even seriously considered.

To be fair, sysadmins also have important advantages:

 Visit: www.magnifictraining.com

They typically have more experience managing huge number of machines. Much more so than DBAs. They have experience working with configuration management and deployment tools (puppet, chef), which is absolutely critical when managing large clusters. They can feel more comfortable digging in the OS and network when configuring and troubleshooting systems, which is important part of Hadoop administration.


You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website www.hadooponlinetraining.net

 Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

 


* Resume preparation and Interview assistance will be provided. 

For any further details please contact +91-9052666559 or 

visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com

Saturday, 20 July 2013

Hadoop Developer Training in Australia | Hadoop Online Training |Online Hadoop Training



Magnific Training is a premier Big Data Analytics company. 
We help customers drive growth, accelerate innovation and create competitive advantage. 
With expertise in data-driven strategy, Hadoop and Hadoop technologies and advanced Data Science methods, we provide specialist consulting, training and managed services. 
In short, we Create Value from Data™.
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To be fair, sysadmins also have important advantages:

They typically have more experience managing huge number of machines. Much more so than DBAs. They have experience working with configuration management and deployment tools (puppet, chef), which is absolutely critical when managing large clusters. They can feel more comfortable digging in the OS and network when configuring and troubleshooting systems, which is important part of Hadoop administration.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
 Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.


* Resume preparation and Interview assistance will be provided. 
For any further details please contact +91-9052666559 or 
please mail us all queries to info@magnifictraining.com

Tuesday, 16 July 2013

Hadoop training in australia | Hadoop training and placement


MAGNIFIC trainings HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the 
requests coming from all over the world.

Hadoop Big Data Training on:

*Development
*Administration
*Architect Training Course

 Visit: www.magnifictraining.com


Course Outline:
What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website  www.magnifictraining.com

 

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

 

* Resume preparation and Interview assistance will be provided. 

For any further details please contact +91-9052666559 or 

visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com